(Senior) Data Mining and Machine Learning Specialist
We are happy to get Your application if you consider
- Yourself having a desire to understand the holistic view of the converging mobile world and what its End-users demand improve Our Lifes
- Yourself familiar with market leading analytical and decision support methods and tools
- Yourself to bridge knowledge and competence across eco-systems, being able to select most efficient methods, tools, architecture and influence others in the field of business intelligence tools and data mining
- Yourself ready to learn fast, give Your best and be on top of on-the-edge
- Yourself having a M.Sc./ B.E./B.Tech. or PhD degree in computer science, mathematics, statistics, physics, electrical engineering, programming engineering or an equivalent qualification
- Proven record in applying statistical languages, such as R
- Proven record in applying market leading BI/DataMining/Machine Learning solutions
- No. of Years of Experience: 8 20 years.
- Exposure to Databases and SQL
- Experience in Java or python or scala programming
What we especially consider as extra
- Proven record for working with distributed computing, Big Data, Hadoop, Map Reduce, NoSQL, Mahout
- Experience in Telecom Domain
- Publications in Analytics/Machine Learning
- PhD in related area.
What we offer?
- By mastering the technologies of today, explore new ways of in using them and build Vision of 2020s Telecommunications
- Be part of creating a telco software with self-learning capabilities, as Yourself being predictive with strong real-time analytical capabilities
- Exercise Lean and Agile SW Development
- - Great infrastructure
- Competitive compensation package, wide range of cafeteria elements, annual bonus
- Continuous learning and self-development possibilities
- Flexible working hours, family-friendly workplace, Opportunities for International exposure
What are You waiting for?
If You are interested apply soon.
If You are Interested With the above Position reply back to me ASAP along with Your Updated CV along with following details: